Label propagation via teaching-to-learn and learning-to-teach C Gong, D Tao, W Liu, L Liu, J Yang IEEE transactions on neural networks and learning systems 28 (6), 1452-1465, 2016 | 151 | 2016 |
Toward trainability of quantum neural networks K Zhang, MH Hsieh, L Liu, D Tao arXiv preprint arXiv:2011.06258, 2020 | 57 | 2020 |
Airplane detection based on rotation invariant and sparse coding in remote sensing images L Liu, Z Shi Optik 125 (18), 5327-5333, 2014 | 55 | 2014 |
Continual learning with lifelong vision transformer Z Wang, L Liu, Y Duan, Y Kong, D Tao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 51 | 2022 |
GoDec+: Fast and robust low-rank matrix decomposition based on maximum correntropy K Guo, L Liu, X Xu, D Xu, D Tao IEEE transactions on neural networks and learning systems 29 (6), 2323-2336, 2017 | 48 | 2017 |
Contrastive graph poisson networks: Semi-supervised learning with extremely limited labels S Wan, Y Zhan, L Liu, B Yu, S Pan, C Gong Advances in Neural Information Processing Systems 34, 6316-6327, 2021 | 41 | 2021 |
Airport detection based on line segment detector Z Kou, Z Shi, L Liu 2012 International Conference on Computer Vision in Remote Sensing, 72-77, 2012 | 36 | 2012 |
Resistance training using prior bias: toward unbiased scene graph generation C Chen, Y Zhan, B Yu, L Liu, Y Luo, B Du Proceedings of the AAAI Conference on Artificial Intelligence 36 (1), 212-220, 2022 | 34 | 2022 |
Escaping from the barren plateau via gaussian initializations in deep variational quantum circuits K Zhang, L Liu, MH Hsieh, D Tao Advances in Neural Information Processing Systems 35, 18612-18627, 2022 | 33 | 2022 |
Deep streaming label learning Z Wang, L Liu, D Tao International Conference on Machine Learning, 9963-9972, 2020 | 33 | 2020 |
Online continual learning with contrastive vision transformer Z Wang, L Liu, Y Kong, J Guo, D Tao European Conference on Computer Vision, 631-650, 2022 | 29 | 2022 |
Balancing stability and plasticity through advanced null space in continual learning Y Kong, L Liu, Z Wang, D Tao European Conference on Computer Vision, 219-236, 2022 | 26 | 2022 |
Channelized axial attention–considering channel relation within spatial attention for semantic segmentation Y Huang, D Kang, W Jia, L Liu, X He Proceedings of the AAAI Conference on Artificial Intelligence 36 (1), 1016-1025, 2022 | 26 | 2022 |
Continual learning through retrieval and imagination Z Wang, L Liu, Y Duan, D Tao Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 8594-8602, 2022 | 25 | 2022 |
Umix: Improving importance weighting for subpopulation shift via uncertainty-aware mixup Z Han, Z Liang, F Yang, L Liu, L Li, Y Bian, P Zhao, B Wu, C Zhang, J Yao Advances in Neural Information Processing Systems 35, 37704-37718, 2022 | 24 | 2022 |
Beef: Bi-compatible class-incremental learning via energy-based expansion and fusion FY Wang, DW Zhou, L Liu, HJ Ye, Y Bian, DC Zhan, P Zhao The eleventh international conference on learning representations, 2022 | 24 | 2022 |
Variance reduced methods for non-convex composition optimization L Liu, J Liu, D Tao IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (9), 5813-5825, 2021 | 24* | 2021 |
Adaptive curriculum learning Y Kong, L Liu, J Wang, D Tao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 24 | 2021 |
Stochastic zeroth-order optimization via variance reduction method L Liu, M Cheng, CJ Hsieh, D Tao arXiv preprint arXiv:1805.11811, 2018 | 24 | 2018 |
Diversified dictionaries for multi-instance learning M Qiao, L Liu, J Yu, C Xu, D Tao Pattern Recognition 64, 407-416, 2017 | 21 | 2017 |